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Interpretation of Natural Language Rules in Conversational Machine Reading

Marzieh Saeidi, Max Bartolo, Patrick Lewis, Sameer Singh, Tim Rocktäschel, Mike Sheldon, Guillaume Bouchard, Sebastian Riedel
<span title="">2018</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/u3ideoxy4fghvbsstiknuweth4" style="color: black;">Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing</a> </i> &nbsp;
Most work in machine reading focuses on question answering problems where the answer is directly expressed in the text to read.  ...  after reading a UK government website about this topic. This task requires both the interpretation of rules and the application of background knowledge.  ...  The core difference lies in the conversational nature of our task: in traditional Machine Reading the questions can be answered right away; in our setting, clarification questions are often needed.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/d18-1233">doi:10.18653/v1/d18-1233</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/emnlp/SaeidiBL0RSB018.html">dblp:conf/emnlp/SaeidiBL0RSB018</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/djajqmowujfjxkxya4y4vcbnt4">fatcat:djajqmowujfjxkxya4y4vcbnt4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200508175657/https://www.aclweb.org/anthology/D18-1233.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cd/83/cd832f7081ab7b83240140c4e5e58b4fb1f8e0e6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/d18-1233"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Robust man-machine interfaces and dialog modelling

Mark Boggs, Jaime Carbonell, Robert Frederking, Phil Hayes, George Mouradian, Don Kosy, Michael Mauldin, Hiromichi Fujisawa
<span title="1982-01-01">1982</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2ky5dxnpbrbm5eez3yudlhazty" style="color: black;">ACM SIGART Bulletin</a> </i> &nbsp;
A number of projects at the Carnegie-Mellon University Computer Science Department address issues in Natural .lAnguage Processing.  ...  Our general interests are in robust man-machine interfaces and the modelling of human dialogs.  ...  Learning from Reading: Acquiring Knowledge fiom Natural Language Textbook Input (Kosy) This study concerns a variant of learning by being told which might be called learning by being taught.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1056663.1056680">doi:10.1145/1056663.1056680</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5vtlnt3qbncrtpcx6lxedufgs4">fatcat:5vtlnt3qbncrtpcx6lxedufgs4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705174901/http://www.cs.cmu.edu/%7Ejgc/publication/New%20Folder/Robust_Man_Machine_Interfaces_Dialog_AAI_1985.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/57/55/57551b7548c12538e31fe6358bf3daae8c2647f4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1056663.1056680"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Page 1499 of Linguistics and Language Behavior Abstracts: LLBA Vol. 28, Issue 3 [page]

<span title="">1994</span> <i > <a target="_blank" rel="noopener" href="https://archive.org/details/pub_linguistics-and-language-behavior-abstracts-llba" style="color: black;">Linguistics and Language Behavior Abstracts: LLBA </a> </i> &nbsp;
, affiliative/disaffiliative in- tervention; ethnomethodological conversation analysis; Greeks aged 36-44; 9405518 interruption, on-line/post hoc interpretations, M.  ...  rules application; 9404950 Turn Taking dramatic dialogues/silences, turn-taking/topic management, natural interaction comparisons, discourse/text analysis; 9405554 interruption habits, Greek men vs women  ... 
<span class="external-identifiers"> </span>
<a target="_blank" rel="noopener" href="https://archive.org/details/sim_linguistics-and-language-behavior-abstracts-llba_1994-07_28_3/page/1499" title="read fulltext microfilm" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Archive [Microfilm] <div class="menu fulltext-thumbnail"> <img src="https://archive.org/serve/sim_linguistics-and-language-behavior-abstracts-llba_1994-07_28_3/__ia_thumb.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a>

Survey on Natural Language Processing and its Applications

Aiyesha Sadiya, Anusha V Illur, Archana R Hegde, Ashwini R, Chandini S B
<span title="2018-01-30">2018</span> <i title="ESRSA Publications Pvt. Ltd."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3j6n6lpsjndinobmibtprywohe" style="color: black;">International Journal of Engineering Research and</a> </i> &nbsp;
Natural Language Processing techniques can make possible the use of Natural Language to express programming ideas, this in turn increases the accessibility of programming to non-expert users.  ...  Processing Natural Language such as English has always been one of the central research issues of Artificial Intelligence, both because of the key-role language plays in human intelligence & because of  ...  the parse tree and generates a deeper structure of the parse tree. 3) Conversion Rules: the conversion rules accept the deep structure of sentence from the semantic interpreter and make it compatible  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17577/ijertv7is010150">doi:10.17577/ijertv7is010150</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lgwi5bv32nhadhl2qxh7tjguyq">fatcat:lgwi5bv32nhadhl2qxh7tjguyq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200323233357/https://www.ijert.org/research/survey-on-natural-language-processing-and-its-applications-IJERTV7IS010150.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/01/8f/018f4cf35d258c169bc1f18c7e376938161730e0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17577/ijertv7is010150"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Open-Retrieval Conversational Machine Reading [article]

Yifan Gao, Jingjing Li, Chien-Sheng Wu, Michael R. Lyu, Irwin King
<span title="2021-11-25">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In conversational machine reading, systems need to interpret natural language rules, answer high-level questions such as "May I qualify for VA health care benefits?"  ...  In this work, we propose and investigate an open-retrieval setting of conversational machine reading.  ...  without any restriction, conversational machine reading on natural language rules [1] require machines to interpret a set of complex requirements in the rule text, ask clarification question to fill  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2102.08633v3">arXiv:2102.08633v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qdehchvzsndllivzvpffmd244y">fatcat:qdehchvzsndllivzvpffmd244y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211130082110/https://arxiv.org/pdf/2102.08633v3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2b/04/2b04d7bd1447c95ca8edea9ac9da618ae88a6eb1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2102.08633v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Free-ordered CUG on Chemical Abstract Machine [article]

Satoshi Tojo
<span title="1994-11-16">1994</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We propose a paradigm for concurrent natural language generation.  ...  In order to represent grammar rules distributively, we adopt categorial unification grammar (CUG) where each category owns its functional type.  ...  In this paper, we will mention our principles on natural language processing with regard to the ChAM model. We assume the process of natural language recognition as follows.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/cmp-lg/9411021v1">arXiv:cmp-lg/9411021v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/f6fsl6hvzjfo3aekybqmddssou">fatcat:f6fsl6hvzjfo3aekybqmddssou</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171006222757/https://core.ac.uk/download/pdf/2337220.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6a/03/6a034663b24c1a6a890d349547accf52976c86da.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/cmp-lg/9411021v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Chatting with chatbots: Sign making in text-based human–computer interaction

Dorthe Duncker
<span title="2020-06-30">2020</span> <i title="University of Tartu"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5buuktiupbasnhpkk3tils3lmy" style="color: black;">Sign Systems Studies</a> </i> &nbsp;
A chatbot serves as a "conversational" user interface, allowing users to control computer programs in "natural language".  ...  This paper investigates the kind of sign making that goes on in text-based human–computer interaction, between human users and chatbots, from the point of view of integrational linguistics.  ...  language naturally, and knows banking inside and out.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12697/sss.2020.48.1.05">doi:10.12697/sss.2020.48.1.05</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/znwtbilelzhthoswijacbp4d5y">fatcat:znwtbilelzhthoswijacbp4d5y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200708231705/https://ojs.utlib.ee/index.php/sss/article/download/SSS.2020.48.1.05/11557" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/27/0a/270abffb9189c12dbb1d38212c7938c2a4c7faf9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12697/sss.2020.48.1.05"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Page 2093 of Linguistics and Language Behavior Abstracts: LLBA Vol. 29, Issue 4 [page]

<span title="">1995</span> <i > <a target="_blank" rel="noopener" href="https://archive.org/details/pub_linguistics-and-language-behavior-abstracts-llba" style="color: black;">Linguistics and Language Behavior Abstracts: LLBA </a> </i> &nbsp;
survival; 950921 | intertextuality applications, literature comprehension/interpretation constructive strategy; empirical data; Taiwanese readers of English as a foreign language; 9507503 language/politics  ...  ’ project report; 9506991 Cajun French verb group, morphosyntactic analysis; 9508239 Low Income Groups book reading interaction nature, low-income mothers/preschool chil- dren, later language/literacy  ... 
<span class="external-identifiers"> </span>
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Page 795 of Linguistics and Language Behavior Abstracts: LLBA Vol. 28, Issue 2 [page]

<span title="">1994</span> <i > <a target="_blank" rel="noopener" href="https://archive.org/details/pub_linguistics-and-language-behavior-abstracts-llba" style="color: black;">Linguistics and Language Behavior Abstracts: LLBA </a> </i> &nbsp;
translation, lexical entries, machine read- able dictionary; 9403251 Nabokov, V., polyglot nature, metalinguistic awareness, multilingual writing strategies; 9402684 natural language semantics/perceptually  ...  infants of Span- ish-/English-speaking monolingual mothers; 9402078 innovativeness levels, Japanese university students; questionnaire; In- ternational Christian U/Tottori U/Temple U students, Japan;  ... 
<span class="external-identifiers"> </span>
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Page 1554 of Linguistics and Language Behavior Abstracts: LLBA Vol. 26, Issue 3 [page]

<span title="">1992</span> <i > <a target="_blank" rel="noopener" href="https://archive.org/details/pub_linguistics-and-language-behavior-abstracts-llba" style="color: black;">Linguistics and Language Behavior Abstracts: LLBA </a> </i> &nbsp;
learning, connectionist vs memory-array models; 9206744 bimodal bilingual language development, hearing child of deaf par- ents; empirical data; male child aged 2.9-5.2; 9204975 Chilcotin ({Athabaskan  ...  bilingual language program, English print access; 9207282 Dutch right-hand head rule acquisition, compound/derived noun gen- der selection, compound elements gender correlation; elicited data; children  ... 
<span class="external-identifiers"> </span>
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"Challenges of Natural Language Processing: A New Dimension of Research in Computing "

<span title="2021-06-01">2021</span> <i title="SAE Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/o5meq6lvbnaqrigkizc6vabxy4" style="color: black;">jecet</a> </i> &nbsp;
This paper is an approach to some new dimensions of research in the field of Natural Language Processing (NLP).  ...  of grammar while typing, sentiment analysis, machine translation and automated answer generation etc.  ...  In [11] , three types of Machine Translation Systems has explained and they are: Rules Based Machine Translation (RBMT), Statistical Machine Translation (SMT) and Neural Machine Translation (NMT).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24214/jecet.b.10.2.05156">doi:10.24214/jecet.b.10.2.05156</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kvdmdntpanczjoznjwqmekh73q">fatcat:kvdmdntpanczjoznjwqmekh73q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210605133530/http://www.jecet.org/download_frontend.php?id=246%20&amp;table=Comp%20Science" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/58/1c/581cef9e4aeb862f09ed0b651f32c3c0aa3129f5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24214/jecet.b.10.2.05156"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Exploring Chatbot Implementation Methodologies used in Customer Support Industry

<span title="2020-03-30">2020</span> <i title="Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3sfifsouvjgadp4gfj54u3z2ku" style="color: black;">International journal of recent technology and engineering</a> </i> &nbsp;
By leveraging today's technologies such as Machine learning and Natural Language Processing, the process of handling user's queries such as complaints about a certain product, feedback, customer experience  ...  In an IT industry, technical support is a huge sector which requires a lot of manpower and other resources.  ...  Advancements made in fields of artificial intelligence such as natural language processing and deep learning, have given chat bots more power in interpreting natural language and to both understand better  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.f8895.038620">doi:10.35940/ijrte.f8895.038620</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mkow4cnl6jeprhas3tjmpfvbcy">fatcat:mkow4cnl6jeprhas3tjmpfvbcy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200504215409/https://www.ijrte.org/wp-content/uploads/papers/v8i6/F8895038620.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a6/86/a6864aee7d28d2c316dde2ee5c99b5cfa97ff510.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.f8895.038620"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

From Eliza to Siri and Beyond [chapter]

Luísa Coheur
<span title="">2020</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jyopc6cf5ze5vipjlm4aztcffi" style="color: black;">Communications in Computer and Information Science</a> </i> &nbsp;
Since Eliza, the first chatbot ever, developed in the 60s, researchers try to make machines understand (or mimic the understanding) of Natural Language input.  ...  This paper explains why the task of Natural Language Understanding is so complicated, detailing the linguistic phenomena that lead to the main challenges.  ...  However, and despite the incredible achievements done in Natural Language Processing (NLP), we are far from creating a machine capable of understanding natural language, a long-standing goal of Artificial  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-50146-4_3">doi:10.1007/978-3-030-50146-4_3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/inyf4napwfcqtnex4zbwo32ymi">fatcat:inyf4napwfcqtnex4zbwo32ymi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200905034738/https://link.springer.com/content/pdf/10.1007%2F978-3-030-50146-4_3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2c/c4/2cc44420e573d40224f6567458a036a2b3f05bda.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-50146-4_3"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

The resolution of quantificational ambiguity in the TENDUM system

Harry Bunt
<span title="">1984</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/er3ht6ls4janpem2wwvdvxoh3y" style="color: black;">Proceedings of the 22nd annual meeting on Association for Computational Linguistics -</a> </i> &nbsp;
In natural language certain aspects of quantification are often left open; it is argued that the analysis of quantification in a model-theoretic framework should use semantic representations in which this  ...  This paper shows a form for such a representation and how "ambiguous" representations are used in an elegant and efficient procedure for semantic analysis, incorporated in the TENDUM dialogue system.  ...  In this method sentences are translated into formulae of a logical language, the truth conditions of which are determined by model-theoretic interpretation rules.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3115/980491.980519">doi:10.3115/980491.980519</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/coling/Bunt84.html">dblp:conf/coling/Bunt84</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fv7o24jdiracfgdfff37mibala">fatcat:fv7o24jdiracfgdfff37mibala</a> </span>
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Zeka - Friendy Chatterbot

Rialda Spahic, Dzana Basic, Emina Yaman
<span title="2019-04-27">2019</span> <i title="International University of Sarajevo"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xny274xy7zdbdf2a26ezele5j4" style="color: black;">Southeast Europe Journal of Soft Computing</a> </i> &nbsp;
But only after more than half a century passed the world became ready for their implementation into the real life, this being a result of the rapid progress in natural language processing, artificial intelligence  ...  Chatbot relies on different natural processing and machine learning algorithms altered by its developers to increase its performance.  ...  ACKNOWLEDGMENT We would like to express sincere gratitude to our professor Emine Yaman for guiding us through the field of Artificial Intelligence and presenting us the state-of-art of this field.  ... 
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